Data Engineer, Odaseva
Enterprise data platform for Salesforce
Be an early applicant
Enterprise data platform for Salesforce
101-200 employees
Be an early applicant
101-200 employees
Company mission
To create a data platform built specifically to help the world's largest, most ambitious Salesforce customers keep their data protected, compliant, and agile.
Role
Who you are
- Equivalent engineering school degree, or a Master's degree in Computer Science, Data Science, or Applied Mathematics
- 7–12 years in data engineering or backend data platforms
- Strong Python and SQL; experience with Spark and modern ELT/Orchestration (e.g., dbt, Airflow)
- Hands-on with Databricks and/or Snowflake in production
- Experience on AWS (S3, Glue/Athena, Redshift, Lambda) and lakehouse formats (Iceberg or Delta Lake)
- Familiarity with data security, governance, and compliance
- Proven experience with data modeling
- Knowledge of cost management principles
- Salesforce data knowledge is a plus, not mandatory
- Foundational AI/ML understanding and motivation to contribute to early use cases
- Fluent in English and French, clear communication, ownership mindset, and collaborative approach
- Excellent interpersonal skills and ability to interact with diverse business stakeholders
What the job involves
- Data Pipeline Development: Design, build, and maintain ingestion/processing pipelines at scale using Python/SQL and Spark; operate within a lakehouse stack (Apache Iceberg or Delta Lake)
- Databricks & Snowflake Engineering: Implement and optimize workflows on Databricks (Jobs, Workflows, Delta) and/or Snowflake (Warehouses, Tasks, Streams) and/or native cloud provider solutions (AWS / AZURE)
- Platform Optimization: Improve performance, reliability, and cost on AWS (S3, Redshift, Athena/Glue, Lambda), with strong observability and IaC practices
- Secure Data Management: Apply security-by-design, data governance, and compliance best practices across storage, compute, and sharing layers
- AI Use Case Enablement: Partner with Product team and R&D team to prepare data for initial AI/ML use cases (feature pipelines, data quality, lineage)
- Data Sharing & Integration: Enable secure, efficient data access for customers via connectors, APIs, and lakehouse sharing patterns (e.g., Delta Sharing, Snowflake data sharing)
Our take
At enterprise scale, Salesforce data management is uniquely challenging. Large volumes and complex business processes significantly increase risks that can threaten data integrity and potentially halt business operations. With Odaseva, Salesforce architects and platform owners have a powerful set of tools to address these foundational data issues. Clients, including notable brands like Oxfam and Heineken, benefit from a comprehensive suite that ensures data is centralised, accessible, and secure, with solutions for data archiving, privacy, and automation.
Odaseva, engineered by Salesforce experts and endorsed by Salesforce Ventures, is utilised by over 120 million users. In 2023, Odaseva achieved significant milestones, including adding new enterprise customers and expanding data centres across four continents to meet data residency requirements. The platform also introduced innovative features such as Backup and Restore with a five-minute Recovery Point Objective (RPO), enhanced data archiving capabilities with Archive Viewer, and end-to-end encryption with Odaseva Gateway.
Further solidifying its commitment to data security, Odaseva earned new certifications like HITRUST for the U.S. healthcare industry, TISAX for the German automotive industry, and IRAP for Australian government entities. These achievements, combined with its growing portfolio of high-profile clients, position Odaseva for continued success and leadership in Salesforce data security.
Steph
Company Specialist at Welcome to the Jungle
Insights
27% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jun 2024
$54m
SERIES C
Oct 2020
$24.6m
SERIES B
Total funding: $92.6m
Company HQ
Financial District, San Francisco, CA
Leadership
Richard Zolezzi
(Co-Founder & Chief Legal Officer)Previously Attorney at Rogers & Wells for 9 years, Counsel at Nixon Peabody for 3 years, and Partner at Catapult Advisors for 5 years.
Rémy Claret
(Co-Founder & CMO)Previously worked for 12 years at Genesys, holding various positions such as Product Marketing Director and Manager Sales Engineering.
Sovan Bin
(Co-Founder & CEO)Previously Lead Technical Architect at Salesforce.com for 5 years, and Oracle Siebel Consultant at Capgemini for 3 years.
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